metadata
tags:
- spacy
- token-classification
language:
- da
model-index:
- name: da_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.93183391
- name: NER Recall
type: recall
value: 0.9305459572
- name: NER F Score
type: f_score
value: 0.9311894882
| Feature | Description |
|---|---|
| Name | da_ner |
| Version | 0.0.0 |
| spaCy | >=3.5.1,<3.6.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (37 labels for 1 components)
| Component | Labels |
|---|---|
ner |
ADVERTISING, AMOUNTS_OF_THE_PRODUCT, AVAILABILITY, BRANDING, CUSTOMERS, DISCOUNTS_AND_OFFERS, DOCUMENTATION, EMPLOYEES, EXTERNAL_SUPPLIER, EXTERNAL_SUPPLIERS, FACILITIES, FINANCING, HANDLING_OF_SERVICE, LEASING, LEGAL, LOCATIONS, LOCATION_IN_THE_STORE, LOGISTICS, MARKETING, MARKET_COVERAGE, MEDIA, MESSAGES, ORGANIZATIONAL_STRUCTURE, PAYMENT_TERMS, PR, PRICE, PRICE_STRATEGIES, PRODUCT_PROPERTIES, PRODUCT_TYPE, PRODUCT_WARRANTY, REFERENCES, RETURN_ON_INVESTMENT, SALES_PROCESS, SHOWROOM, THE_MANAGEMENT, UNIFORMITY_IN_DELIVERIES, USE_OF_THE_PRODUCT |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
92.80 |
ENTS_P |
93.29 |
ENTS_R |
92.31 |
TOK2VEC_LOSS |
30474.78 |
NER_LOSS |
43639.90 |